نتایج جستجو برای: fuzzy n norms

تعداد نتایج: 1095535  

Journal: :Fuzzy Sets and Systems 2010
Michal Baczynski Balasubramaniam Jayaram

In this paper, we attempt a systematic study of QL-implications. Towards this end, firstly, we investigate the conditions under which a QL-operation becomes a fuzzy implication without imposing any conditions on the underlying operations. Following this, we discuss the conditions underwhich this family satisfies some desirable algebraic properties. Based on the obtained results and existing cha...

2010
Michal Baczynski

Recently, the distributivity of fuzzy implications over t-norms, t-conorms and uninorms was studied in many articles. In this paper we characterize functions which satisfy one of the four generalized distributivity equations of classical implication in the case when t-conorms are continuous and Archimedean. Using the obtained characterizations we describe some solutions which are fuzzy implicat...

Journal: :Inf. Sci. 2012
Xiaohong Zhang Bing Zhou Peng Li

Intuitionistic fuzzy rough sets are investigated in a general framework which includes generalizations of many related results in early literatures. A new definition of intuitionistic fuzzy rough sets is given with the analysis of its basic properties based on the notion of two universes, general binary relations, and a pair ðT , IÞ of intuitionistic fuzzy t-norm T and intuitionistic fuzzy impl...

2001
Petros Maragos Vassilis Tzouvaras Giorgos B. Stamou

In this paper we use concepts from the lattice-based theory of morphological operators and fuzzy sets to develop generalized lattice image operators that can be expressed as nonlinear convolutions that are suprema or infima of fuzzy intersection or union norms. Our emphasis (and differences with previous works) is the construction of pairs of fuzzy dilation and erosion operators that form latti...

Journal: :Fuzzy Sets and Systems 2016
Michal Holcapek

In this article, we propose a fuzzy class relation assigning to each pair of finite fuzzy sets a degree to which they are equipollent, which indicates that they have the same number of elements. The concepts of fuzzy sets and fuzzy classes in the class of all countable sets are introduced, and several standard relations and constructions, such as the fuzzy power set and exponentiation, are defi...

‎In this study‎, ‎we investigate topological properties of fuzzy strong‎ b-metric spaces defined in [13]‎. ‎Firstly‎, ‎we prove Baire's theorem for‎ ‎these spaces‎. ‎Then we define the product of two fuzzy strong b-metric spaces‎ ‎defined with same continuous t-norms and show that $X_{1}times X_{2}$ is a‎ ‎complete fuzzy strong b-metric space if and only if $X_{1}$ and $X_{2}$ are‎ ‎complete fu...

Journal: :International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 2002
Susanne Saminger-Platz Radko Mesiar Ulrich Bodenhofer

Aggregation processes are fundamental in any discipline where the fusion of information is of vital interest. For aggregating binary fuzzy relations such as equivalence relations or fuzzy orderings, the question arises which aggregation operators preserve specific properties of the underlying relations, e.g. T -transitivity. It will be shown that preservation of T -transitivity is closely relat...

2009
Anis Sakly Basma Zahra Mohamed Benrejeb

This paper proposes a practical stability analysis of a particular class of continuous PI-like fuzzy control systems based on the convergence of regular vector norms. This approach is based on the comparison, the overvaluing principle and the application of Borne and Gentina criterion. The stability conditions issued from vector norms correspond to a vector Lyapunov function. A comparison syste...

2010
P. Cordero M. Enciso A. Mora I. P. de Guzmán

A fuzzification of the concept of functional dependency based on t-norms is presented. T-norms are equally used in the definition of the similarity relations in the domains and in the fuzziness degree assigned to functional dependencies. A sound and complete logic for this fuzzy functional dependencies is also introduced and, finally, its applicability to redundancy removing is shown.

2007
Simone Bova

Fuzzy logics based on residuated t-norms provide a robust mathematical formalism for logical deduction under uncertain or vague premises. In this paper, we describe a decision algorithm for the tautology problem of Basic Logic, which is the logic of continuous t-norms and their residua [Háj98, CEGT00]. Our algorithm is a refinement of the semantic method of Baaz, Hájek, Montagna, and Veith [BHM...

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